Analysis Of Whatsapp Group Data On Stocks To Understand The Stock Recommendations Using Text Analytics
The core objective of this study was to automate the process of extracting messages (stock recommendations or trading tips) from…
We call a spade a spade. And that’s our trump card.
By not allowing rhetorics and exotic algorithms to rule the roost, Whirldata aims at delivering solutions that create exponential business value. We refuse to don the garb of an information technology company, and instead drape the mantle of a business transformation company.
The words transformation and disruption have lost their way in the quagmire of today. True transformation or disruption is a function of absolute clarity, and clarity only comes with depth.
By adhering to the First Principles approach we dig deep to discover the fundamental elements of each and every problem. We don’t assume, we ascertain. And from there we unravel the best possible solution.
Some call it an eventuality but we call it – metamorphosis.
“Is the stated problem the real problem?”
“How are we absolutely sure, it is?”
“How do we know the problem can be solved?”
These are a few questions we ask ourselves before embarking on the journey.
Our experience has blessed us with the knowledge that the best solution is not where everyone is already looking. Metamorphosis instigates us to abandon allegiance to previous forms and put the function front and center. What is the goal? What are we trying to accomplish? What is the functional outcome that we are looking to achieve?
How can we create a pathway to exponential growth?
The intent is to #StayAhead and not get wound up in conventions and allegiance to previous forms and visions. We steer clear of running the risk of stifling creativity and the possibility to create something uniquely pathbreaking.
The process of convergence towards the problem to decipher a diverse range of solutions is how we #GoBeyond the obvious and bring about Metamorphosis.
To understand is to know what to do.
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Analysis Of Whatsapp Group Data On Stocks To Understand The Stock Recommendations Using Text Analytics
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